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SearchAtlas is a framework that transforms LLM search agent trajectories into evidential query graphs to analyze search strategies, revealing process failures and improving interpretability beyond final-answer accuracy.
This paper introduces a two-stage inference-time budget control method for LLM search agents, using Value-of-Information scores to optimize tool-call and token allocation during multi-hop question answering.